AVP – Life Sciences & Healthcare Analytics

Ready to build the future with AI?

At Genpact , we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE : G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of AVP – Life Sciences & Healthcare Analytics

In this role, We are seeking a dynamic and visionary AVP– Life Sciences Analytics to lead a marquee engagement with a global innovator biopharma client. This leadership role combines strategic delivery oversight, client engagement, innovation incubation, and account growth. The ideal candidate will bring deep expertise in commercial analytics, a passion for innovation, and a proven track record of applying AI and new-age technologies to solve complex business problems.

You will be responsible for building and managing a high-performing team across India and the US, delivering cutting-edge analytics and AI solutions, and acting as a thought leader to shape and elevate our client partnership.

Responsibilities

Client Engagement & Strategic Leadership

Serve as the primary point of contact for a global innovator client on analytics and AI initiatives.

Partner with senior stakeholders (VPs, Heads of Commercial, Digital, AI / ML leads) to understand priorities and define solution roadmaps.

Act as a trusted advisor and thought leader in commercial life sciences analytics, influencing client strategy.

Team Management & Delivery Oversight

Lead and mentor a multi-disciplinary team spread across India and the US (data

science, data engineering, domain SMEs).

Drive flawless execution of deliverables, ensuring high-quality, timely, and impactful outcomes.

Foster a culture of ownership, continuous learning, and innovation within the team.

Innovation & Solution Development

Incubate and scale next-gen solutions using GenAI, NLP, predictive modeling, graph

analytics, and cloud-native platforms (e.g., Snowflake, Databricks, Azure / AWS).

Promote agile experimentation and adoption of cutting-edge tools and techniques.

Translate emerging technologies into scalable business value for the client.

Growth & Account Expansion

Identify whitespace opportunities and collaborate with the sales team to grow the account.

Co-create proposals and POVs showcasing analytics-led value for new business use cases.

Expand footprint into adjacent areas like RWE, patient analytics, omnichannel, or AI powered operations.

Qualifications we seek in you!

Minimum Qualifications

Bachelor’s or Master’s degree in Engineering, Life Sciences, Statistics, Data Science, or

related fields; MBA or PhD is a plus.

Preferred Qualifications / Skills

Relevant years of experience in Healthcare, Medtech, Life Sciences analytics, with

significant exposure to US and global commercial functions.

Proven experience leading large-scale, high-impact analytics and AI programs for

innovator clients.

Strong expertise in commercial analytics areas such as forecasting, brand performance, HCP segmentation, patient analytics, omnichannel, etc.

Experience working across geographies with distributed teams.

Demonstrated ability to drive innovation using modern technologies (AI / ML, GenAI, cloud, NLP, etc.)

Hands-on understanding of analytics platforms, data infrastructure, and MLOps is a plus.

Experience working in or with global biopharma innovators.

Published or presented in conferences or forums on analytics, AI, or digital transformation in life sciences.

Passionate about building high-performance teams and mentoring future leaders.

Entrepreneurial mindset with a bias for action and innovation.

Lead the analytics solutioning efforts for our US-based Medical Devices or MedTech clients, ensuring the development and delivery of innovative and impactful analytics solutions.

Understand client requirements and challenges in the commercial and supply chain analytics areas and develop comprehensive analytics strategies to address them effectively.

Collaborate with cross-functional teams, including data scientists, analysts, and

consultants, to design and deliver end-to-end analytics solutions tailored to client needs.

Stay up-to-date with industry trends, challenges, and developments in the MedTech

sector, and provide thought leadership on how new analytics advancements can solve business problems.

Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models.

Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation.

Building chatbot using different scalable data source for generating charts and statement.

Proficiency in programming language Python, SQL.

Strong executive presence with excellent communication and stakeholder management skills.

Experience in Multi Chanel marketing, Omnichannel, Digital and Marketing analytics

with relevant experience in in Pharma / Life sciences industry, leading large analytics engagement

As lead program manager, facilitate cross-functional stakeholder discussions and drive consultative selling and innovation with hands-on analytical deep-dive

Demonstrated though leadership in driving continuous improvement in MCM and

Marketing analytics in the areas of brand launch initiatives, customer journey, brand positioning, customer segmentation, business insights, campaign effectiveness measurement, channel affinity, next best action etc.,

Exposure to pharma data sets such as IQVIA, Symphony : Xponent, PlanTrak, NPA, DDD,

Digital Interaction data, Veeva CRM, Call Activity data, Adobe, Google analytics data, IPad, Social media data,

Why join Genpact?

Lead AI-first transformation – Build and scale AI solutions that redefine industries

Make an impact – Drive change for global enterprises and solve business challenges that matter

Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills

Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace

Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters : Up.

Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military / veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.